Data Science Internship Jobs in Ashburn, VA

Hamilton Porter is proud to support the hiring needs, of one of the leaders in small business refinancing. Our long time client, is looking for a Data Scientist. Will develop models to support programs for the organization. Will classify or categorize data to make predictions related to the models. What You Will Do: Model Development: Design, develop, and deploy machine learning models and algorithms to solve business problems or improve processes for Legal/Collections and Sales Build models to classify account transaction data to benefit underwriting process and merchant insights Build models including but not limited to credit risk, fraud, and offer acceptance propensity Perform through testing and validation of models and support various aspects of the business with data analytics, i.e., experience with data and model governance Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, i.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself Advanced Data Analysis: Conduct sophisticated analysis on top of models to derive meaningful insights and actionable strategy recommendations. Identify new data sources and patterns that add lift to predictive modeling capabilities; come in with existing knowledge about relevant datasets and services to leverage Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact Statistical Analysis: Apply statistical techniques to interpret data, validate models, and ensure robustness of analytical solutions. Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences Recommend ongoing improvements to methods and algorithms currently in production Collaboration: Work closely with cross-functional teams such as engineering, product management, and business stakeholders to understand requirements and deliver solutions. What We're Looking For: MS in Statistics, Economics, Finance, or other related quantitative field Strong understanding of Computer Science fundamentals 3-5 years of relevant experience in applying data science techniques to real-world problems Strong proficiency Python and SQL for data manipulation, analysis, and modeling Econometric modeling, traditional modeling techniques (regression, tree-based models), deep learning, Natural Language Processing (NLP) Agile, Scrum experience Strong SQL Big data; experience with Databricks or Snowflake, Linux, AWS Strong understanding of Software Development Lifecycle (SDLC) Experience with exploratory data analysis and visualization Solid understanding of statistical methods and their application in data analysis and modeling Experience with machine learning techniques and libraries/frameworks (e.g., scikit-learn) Ability to work with large, complex datasets using tools like Pandas, Spark, or similar Strong analytical and problem-solving skills to translate business requirements into technical solutions Able to share a portfolio (e.g., website, github, paper references, etc.) of papers, visualizations, or software Excellent communication skills to articulate findings and insights to both technical and non-technical stakeholders. Compensation: Competitive base salary ($110K - $124K - DOE) + potential for 10% performance bonus Outstanding company covered Health Coverage - tons of options across Health, Dental, Vision options + Flexible PTO 401K through Fidelity with 25% match Tons of other company wide perks... Apply today we are quick to interview.

Tower Strategy Group is seeking an entrepreneurial individual to fill a full-time Analyst position in our Alexandria, VA office. The ideal candidate should possess robust organizational skills, strong analytical skills, primary and secondary research experience, and be able to work well both individually and on a team. We are a boutique strategy consulting firm, and, as such, much of our work requires communication both in-house and with our clients. Therefore, strong written and oral communication skills are imperative. Our culture is the core of our work and we are focused on growth. As a team, we are dynamic, flexible, and bold. In the Analyst role you would be given substantial responsibility and the opportunity to be involved at a high level on many of our projects. Tower Strategy Group is a strategy consulting firm focused on business transformation and market expansion. We support the C-suite, President, Vice President-level and senior management at FORTUNE 500 companies and the Federal Government. We execute high-impact, quick turnaround engagements that allow our clients to understand industry structure, identify and pursue new growth opportunities, determine how to increase market share, and improve their operational performance. Applicants must be graduates of top universities with 1-4 years of experience. A resume and cover letter are required for consideration. For more information, please contact us at ********************. Responsibilities: Conducting qualitative and quantitative analysis Collecting and analyzing data Conducting primary and secondary research Organizing and preparing materials for client workshops Writing client deliverables Supporting our senior team in client interaction and management Leading business development efforts Participating in firm development efforts Administrative duties as assigned Requirements: Bachelor's Degree 0-2 years relevant professional experience Required experience: Quantitative and/or qualitative analysis Strong organizational skills Experience with AI / LLM tools Ability to work independently without supervision and collaborate within a team Primary and secondary research Microsoft Office suite (emphasis on PowerPoint and Excel) Client-facing experience Experience with workshop facilitation and project management

About Us We are a leading analytics company leveraging AI to empower enterprises and government agencies with smarter, faster decision-making capabilities. Our innovative platform turns intricate data into practical insights with intuitive AI tools and advanced visualization capabilities, empowering users to make informed decisions seamlessly. Trusted by top defense agencies and Fortune 500 companies, we're scaling fast and looking for a Data Scientist (TS/SCI Cleared) to join our dynamic team. What You'll Do: Design, implement, and deliver AI-powered solutions tailored to customer needs using our advanced analytics tools. Work closely with clients to guide AI solutions from initial concept through full-scale deployment. Leverage big data tools and platforms, such as Databricks, to build scalable and efficient AI-driven solutions. What You'll Bring: Active TS/SCI security clearance and ability to work from an SCIF. Based in Washington DC/Northern Virginia, with travel to client sites. Degree in Computer Science or related field. 3+ years of Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Experience deploying machine learning models in production. Proficiency with SQL/NoSQL databases, version control (e.g., Git), Docker, and Kubernetes. Strong ownership, accountability, and communication skills. Bonus Points For: Experience leading projects in SCIF environments. Cyber Analytics, PCAP, or network monitoring expertise. Familiarity with Spark, Dask, Snowpark, Kafka, or task schedulers like Airflow and Celery. Join us and be part of a mission-driven team at the forefront of AI innovation!

Understand business context and problems and communicates them clearly in written and oral format. Work with the business users to understand & document the functionality requirements. Understand existing architecture and data flows. Perform data analysis. Provide detailed business and data requirements including complex data mappings Answer questions and scenarios that may come up as the developers and testers work off the business requirements. Create process flows, presentations and reports to document recommendations and deliver them to the business stakeholders. Performs detailed analysis of complex business processes, data requirements and proposes solutions. Work with the team to develop detailed scope, requirements and other SDLC documents as required Develop test plans, test cases, procedures, and documents given business requirements and design documents. Must Have Skills: 4+ years of experience in documenting business and data requirements for systems development projects. 4+ years of experience in a consulting environment with a focus on business and data analysis. Prior experience in MS-Office (Excel, PowerPoint, Word, Access), Visio Strong SQL, analytical and problem-solving skills. Understand business context, problems and communicates them clearly in written and oral format. Work with the business users and leads to understand & document data requirements. Understands basic relational databases as well as user interface design. Experience working on large data Integration projects. Exceptional organizational skills, analytical skills, strong written and verbal presentation skills Excellent written and oral communication skills; be able to convert the business requirements into clear and detailed functional requirements for the development team to code; be able to coordinate meetings with other teams effectively Experience with documenting business requirements and testing results. Take a proactive approach to understand the functionality of DQ asset with minimal guidance from business users and technology leads. Agile experience Jira experience Data Warehouse Experience “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

JustinBradley's client, a leading source of mortgage financing, is seeking a highly skilled Data Analyst II to join their team. The role involves understanding business context, documenting data requirements, and performing detailed data analysis. The Data Analyst II will collaborate with business users to define functionality, develop test plans, and ensure the successful integration of large data projects. The ideal candidate should have experience in business/data analysis, strong SQL and analytical skills, and experience with Agile, Jira, and Data Warehousing. Excellent communication skills and the ability to work in a consulting environment are essential. Responsibilities: Understand business context and problems and communicates them clearly in written and oral format. Work with the business users to understand & document the functionality requirements. Understand existing architecture and data flows. Perform data analysis. Provide detailed business and data requirements including complex data mappings Answer questions and scenarios that may come up as the developers and testers work off the business requirements. Create process flows, presentations and reports to document recommendations and deliver them to the business stakeholders. Performs detailed analysis of complex business processes, data requirements and proposes solutions. Work with the team to develop detailed scope, requirements and other SDLC documents as required. Develop test plans, test cases, procedures, and documents given business requirements and design documents. Requirements: 4+ years of experience in documenting business and data requirements for systems development projects. 4+ years of experience in a consulting environment with a focus on business and data analysis. Prior experience in MS-Office (Excel, PowerPoint, Word, Access), Visio Strong SQL, analytical and problem-solving skills. Understand business context, problems and communicates them clearly in written and oral format. Work with the business users and leads to understand & document data requirements. Understands basic relational databases as well as user interface design. Experience working on large data Integration projects. Exceptional organizational skills, analytical skills, strong written and verbal presentation skills Excellent written and oral communication skills; be able to convert the business requirements into clear and detailed functional requirements for the development team to code; be able to coordinate meetings with other teams effectively. Experience with documenting business requirements and testing results. Take a proactive approach to understand the functionality of DQ asset with minimal guidance from business users and technology leads. Data quality experience. Agile experience. Jira experience. Data Warehouse Experience. JustinBradley is an EO employer - Veterans/Disabled and other protected employees.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date At least 1 year of experience in open source programming languages for large scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications: Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Aquila's Fitness Specialist Intern Summer 2025 will gain first- hand experience by assisting members in safe and effective exercise programs and perform a wide range of duties in a health/fitness center, under the supervision of the site manager. The program provides students with a well rounded experience in the fitness industry, in a professional setting. We currently have openings for Summer 2025 interns for our Washington, DC locations. As a Fitness Specialist Intern, you will have the opportunity to do the following: Assist in educating members concerning safe exercise techniques Assist to perform exercise assessments and prescribe exercise upon American College of Sports Medicine guidelines Conduct safe and effective assessments including cardiovascular, strength, flexibility, and body composition analysis; evaluate and interpret data and identify high risk participants and special populations Aid members - spotting and equipment usage Assist in the maintenance, cleanliness and safety of all equipment Adhere to departmental and club policies and procedures Adhere to client's policies and procedures Assist in wellness and fitness promotions and external events Perform daily administrative duties under the supervision of the site manager or fitness specialist Assist in memberships: monthly, internships: signing members up, sending out reminders of payment Help teach group fitness classes in different styles: step, strength, circuit, Pilates and/or yoga Helping clients/members with fitness related questions. Performing tours of the facility Personal Training shadowing and writing out mock PT sessions Assisting with newsletter, articles, and monthly bulletin board Compensation: This is an unpaid internship and does not provide wages. However, at the completion of the program Aquila sponsors an ACE certification exam for the candidate. The program has to be completed in full. The exam fees are paid by Aquila. Requirements: Must be an undergraduate Junior or Senior majoring in Kinesiology, Exercise Science, Health Promotion or very closely related major. Must have at least a 2.75 GPA Also, the following are required: Excellent written and verbal communication skills Strong organizational skills Customer service oriented Knowledge of fitness training principles Punctuality Computer knowledge: Microsoft Office Products & Internet All candidates must be able to complete a background check and a federal security clearance check. Aquila is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other characteristic protected by law. EOE Minorities/Women/Protected Veterans/Individuals with Disabilities

Who We Are Arcellx is a public, clinical-stage biotechnology company reimagining cell therapy by engineering innovative immunotherapies for patients with cancer and other incurable diseases. We believe that cell therapies are one of the forward pillars of medicine and our mission is to destroy cancer and advance humanity by developing cell therapies that are safer, more effective, and more broadly accessible. Our team members are made up of talented innovators and dreamers working from our offices in Rockville, Maryland, and Redwood City, California. At Arcellx, we hire exceptional people and create a fun, diverse, supportive, and informal environment that allows everyone to do their best work. What Matters to Us Living our core values is essential to maintaining a work environment that is high-performing, inclusive, and collaborative. We look for candidates who demonstrate strong values alignment and bring different backgrounds, viewpoints, and abilities to the team. Arcellx Core Values Character : Committed to always doing what's right. Audacity : Willing to challenge convention and share candid feedback with others. Determination : Curious and self-motivated. Always looking to improve and learn. Collaboration : "No job is too small" mentality. Humble and willing to help others. Originality : Will bring your unique perspective to the table and respect a diverse set of views and backgrounds. The “Fine Print” - What You'll D Set up, operate, and troubleshoot TFF systems for LVV purification. Conduct buffer preparation, filtration experiments, optimizing flow rate, transmembrane pressure (TMP), and viral recovery efficiency. Analyze and interpret filtration performance data to identify process trends and optimization opportunities. Document findings and present results in technical reports and an end-of-internship presentation. Skills and Experience We Look For Our ideal candidate has is detail-oriented with a strong problem-solving mindset, capable of troubleshooting lab operations effectively. Should be able to work both independently and collaboratively in a fast-paced laboratory setting. Strong organizational skills are essential for managing experiments, documenting findings, and meeting deadlines. Effective communication skills are needed to present results and collaborate with cross-functional teams. Join us in our quest to reimagine cell therapy and destroy cancer. For more on our technology, culture, and team, go to **************** #LI-Onsite

Optimal is a policy research and data analytics firm that conducts studies and provides technical assistance on entrepreneurship and innovation, education, workforce development, economic development, health care, and related subjects. Our mission is to provide decision makers with rigorous and timely insights that enable our clients to improve public well-being. The Data Scientist intern position would require part-time during the school year and full-time during the summer. Compensation is commensurate with years of education, training, and pertinent experience. General Description Support data scientists, researchers and software developers on projects bridging the gap between research and analytics. Assist in the development of streamlined protocols to systematize workflow. Aid to develop schema, business rules and configuration testing processes. Support efforts with systems management to capture information that can be used for quantitative analysis. Support the development of standardized protocols to manipulate information captured in a fixed format to usable data, using non-traditional data sources like scraping data from social media, mining data from natural language texts, as well as vectorizing images to create analytical dataset to inform policy decisions. Work experience and job skills requirements: Knowledge using data science toolkits, such as R, MatLab, Python, and neural network frameworks such as Torch, Keras, Café, and Tensorfow. Knowledge using data visualization tools, such as D3.js, GGplot, PlotLy, Moicrosoft Power BI, and Tableau. Requirements gathering experience in developing schema, business rules, and test protocols. Knowledge conducting tests for configuring and developing integrated data systems. Experience working with query languages such as SQL. Knowledge of statistics and research methods and experience developing regression models. Experience developing technical documentation for datasets, code, and data products. Excellent verbal and written communication skills. Education Requirements: Enrolled in a bachelor's or Master's degree program in Data Science, Business Analytics, Economics, Applied Mathematics, Applied Statistics, Operations Research, or a related field. To Apply: Please submit your application, including your resume with a cover letter.

Responsibilities: * Develop and deploy predictive models in one or more major sports * Analyze various sports data sets to identify statistically significant patterns and extract predictive features * Collaborate with a team of data scientists and engineers Requirements: * A passion for sports * Pursuing a degree in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or related field * Significant experience with R and/or Python * Some experience with SQL queries * Skilled in a variety of statistical modeling and machine learning techniques * Sports analytics experience preferred, but not required * Tell us why you believe you are qualified for this position at BLA * Include answers to the following: * Which sports do you follow? Rank how closely you follow each sport on a scale of 1-10 (10 being the highest). * In which sports do you follow public analytics work? Rank how closely you follow the public analytics work in each sport on a scale of 1-10 (10 being the highest). * Send an email with your resume to [email protected] * Please let us know how you heard about the position!

About the National Fair Housing Alliance The National Fair Housing Alliance (NFHA) has an opening for a dynamic, results-oriented visionary to serve as Math Science Intern. NFHA leads the fair housing movement and is the nation's only national civil rights organization exclusively dedicated to eliminating all forms of housing discrimination and ensuring equitable housing opportunities for all people and communities. We have a diverse, experienced, mission-driven, and impactful team that has developed equity-based policies at the federal, state, and local levels to expand fair housing opportunities; brought precedent-setting litigation to eliminate some of the most heinous forms of housing discrimination; conducted groundbreaking research to promote equitable solutions; and invested millions of dollars in underserved communities. We have solid relationships, built on trust, with national, regional, and local organizations, and we effectively draw upon these connections to reach vital goals. We are game changers that millions of people rely upon to advance fair housing in the communities where they live. Where you live matters. It affects every aspect of your life and determines whether you have access to resources-like broadband service, healthcare facilities, fresh land, air, and water, and well-resourced schools-we all need to thrive. Despite important existing federal laws, more than 4 million acts of housing discrimination occur in the U.S. each year, and housing inequality remains stubbornly entrenched. That is why-through its education and outreach, member services, public policy, and advocacy, housing and community development, responsible AI, enforcement, and consulting and compliance programs-NFHA is dismantling longstanding barriers to equity, rooting out bias, and building diverse, inclusive, well-resourced communities. To learn more about NFHA, please visit ********************************* Position Summary The Responsible AI Lab at NFHA envisions a housing system where security, safety, and trust are the cornerstones of every AI-driven decision. Our vision is to ensure that AI systems and tomorrow's innovations in housing promote inclusivity and equity, avoiding discrimination and segregation. Our mission is to enable fair housing through Responsible AI and future technologies by addressing risks, promoting equity, and advancing innovative technologies. We are committed to ensuring that AI systems and emerging technologies in housing adhere to the principles of security, safety, and trustworthiness, preventing discriminatory outcomes and mitigating segregation patterns. We are looking for a Math Science Intern to join the Development unit of our innovative, startup-like RAIL team to help advance our mission. The Intern will contribute to the development and deployment of software solutions that advance the Responsible AI team's mission at NFHA. This role focuses on designing, building, and maintaining frameworks, methodologies and techniques that address the ethical, legal, and societal challenges of AI in housing. The Math Science Intern will work closely with cross-functional teams to implement innovative, secure, and reliable theoretical work into research that promotes equity, ensures compliance with civil and human rights laws, and supports the responsible deployment of AI technologies in the housing sector. We are looking for someone who embraces curiosity and thrives in a dynamic, iterative development environment. We also value team members who question assumptions and excel in adaptive, fast-paced workflows. Visit RAIL microsite to learn more about the team and the core principles that direct the team's work. Essential Job Functions Responsibilities Overview Read theoretical research papers on AI and present the papers to the team . Work with RAIL researchers and engineers to select optimal model and preprocessing workflows to align with experimental needs. Contribute to research methodology development and help align project needs with technical feasibility Assist in manuscript preparation in submission to journals or conferences. Stay updated with the latest advancements in ML and AI to ensure the integration of state-of-the-art techniques. Collaboration Work closely with AI researchers, engineers, and other stakeholders in the organization to align theoretical frameworks with project goals. Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives to ensure smooth team workflows. Contribute to cross-functional projects. Share insights and lessons learned with the team to foster a culture of continuous improvement. Communication Document technical workflows, processes, and code to ensure knowledge sharing and project continuity. Present updates and results to both technical and non-technical stakeholders. Provide clear and concise explanations of complex technical concepts when discussing research. Actively participate in team discussions, providing constructive feedback and sharing ideas. Qualifications and Competencies Education & Experience: Currently pursuing a degree in Mathematics, Computer Science, Statistics, Physics, Pure Chemistry, or a related field. Coursework: At least four of the following coursework must be completed prior to applying for the internship. Machine Learning Fundamentals - Covers supervised and unsupervised learning, classification, regression, and clustering algorithms, forming the foundation for advanced topics in AI. Deep Learning - Focuses on neural networks, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and frameworks like TensorFlow or PyTorch. Reinforcement Learning - Explores Markov decision processes, dynamic programming, Q-learning, policy gradients, and applications in robotics, game AI, and real-world control systems. Probability and Statistics for Machine Learning - Provides essential knowledge on probability distributions, Bayesian inference, hypothesis testing, and statistical modeling for developing robust machine learning models. Optimization Techniques - Teaches gradient-based and gradient-free optimization methods such as stochastic gradient descent, convex optimization, and their applications in training machine learning models efficiently. Skills: Strong understanding of ML and AI concepts, including algorithms, statistical methods, and theoretical foundations. Adaptability to work with and stay aware of evolving technologies and frameworks. Strong organizational and time-management skills to balance multiple projects and deadlines. Ability to communicate complex technical information to semi-technical or non-technical audiences. Expected Hours and Compensation Minimum 20 hours a week, ideally 30-32 hours a week The internship is for 256 hours with a total compensation of $6,400 The internship is expected to run for 8-10 weeks. Application Process: Interested applicants should submit a resume, two sample writeups, and a cover letter outlining your relevant experience and why you are interested in the position. Applications without any of the required materials will not be considered. No telephone calls, please. This position will remain open until filled. Affirmative Action/Equal Opportunity Statement NFHA values and encourages diversity in its workforce. NFHA supports affirmative action and is dedicated to promoting equal employment opportunities. NFHA does not discriminate on the basis of race, color, religion, national origin, ancestry, citizenship, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, disability, matriculation, political affiliation, or any other category or characteristic protected by the laws of the United States or the District of Columbia.

The Junior Data Analyst Intern will be responsible for developing, modifying and assisting in the support of several internal database systems and tools. Will troubleshoot existing systems and help develop recommendations, fixes and advancements. Work with experienced professionals who will guide processes. An opportunity to expand your skills and utilize your current knowledge. Job Requirements High School Diploma Enrolled in a current college program Strong IT and Database experience Ability to adapt book knowledge to real-world situations

The Infrastructure Branch of EPA's Drinking Water Protection Division administers the Safe Drinking Water Information System (SDWIS) and provides information analysis and website / outreach support for the Office of Ground Water and Drinking Water (OGWDW). OGWDW leads the Agency's efforts to implement the Safe Drinking Water Act (SDWA) and is responsible for posting documents, creation of drinking water data system outreach materials documentation and in providing technical support and outreach to EPA Regions, states, multi-state organizations and other stakeholders. OGWDW also provides technical advice and guidance to other Federal agencies in the development of policies and regulations. In order to meet our program oversight responsibilities, EPA must track, analyze and report on the primacy agencies drinking water data. Job Description A postgraduate research project training opportunity is currently available at the U.S. Environmental Protection Agency's (EPA) Office of Water (OW). This appointment will be served with the Office of Ground Water and Drinking Water (OGWDW)/Drinking Water Protection Division (DWPD) in Washington, DC. The research participant will be trained in performing drinking water data analyses. He/she will be mentored on use of EPA's internet-based SDWIS reporting tool software (********************************************* to conduct analyses. The participant will also be trained on utilization of software for posting documents, creation of drinking water data system outreach materials documentation and in providing technical support and outreach to EPA Regions, states, multi-state organizations and other stakeholders. Additionally, the participant will be trained to enhance the Internet presence of EPA's drinking water program. The participant will gain experience with a highly dedicated and accomplished team of data analysts and data system managers, as well as with EPA managers and a variety of data analysis and data system customers. This includes interacting with others through the Association of State Drinking Water Administrators and various EPA working groups. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and EPA. Qualifications Applicants must have received a bachelor's or master's degree in environmental science, engineering, public policy, physical sciences, computer science, within five years of the desired starting date, or completion of all requirements for the degree should be expected prior to the starting date. The appointments are full time for one year and may be renewed upon recommendation of EPA and contingent on the availability of funds. The participants will receive a monthly stipend. The annual stipend will range from $44,941 to $54,972 based on educational level. Funding may be made available to reimburse the participants' travel expenses to present the results of their research at scientific conferences. No funding will be made available to cover travel costs for pre-appointment visits, relocation costs, tuition and fees, or health insurance. The participants must show proof of health and medical insurance. The participants do not become EPA employees. The mentor for this project is Renee Morris. The desired start date is January 16, 2017. Additional Information How to Apply: A complete application consists of: An application Transcripts - Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional references All documents must be in English or include an official English translation. APPLICATIONS FOR THIS INTERNSHIP MUST BE SUBMITTED TO THE ORISE PROGRAM AT: ************************************************ Applications will NOT be accepted via this SmartRecruiters form.

Duration: 10-12 weeks (with potential for extension) HUBZone Residency (REQUIRED). You may determine if an address or a particular area is designated as a HUBZone by using the HUBZone Maps. NexThreat LLC is seeking an analytical and detail-oriented Data Analysis Intern to join our team through the HUBZone Internship Program for Government Contractors. The Data Analysis Intern will engage in data analysis, visualization, and processing, utilizingstate-of-the-art tools and techniques to uncover insights and trends. The ideal candidate has a strong interest in data science, a solid understanding of statistical methods, and excellent problem-solving abilities. Key Responsibilities: - Assist in the collection, cleaning, and organization of large datasets from various sources. - Perform data analysis using statistical methods and software tools to uncover trends, correlations, and insights. - Develop data visualizations and dashboards to effectively communicate findings to both technical and non-technical audiences. - Collaborate with cross-functional teams to identify opportunities for process improvements and data-driven decision-making. - Support ongoing projects and initiatives, contributing to the overall data strategy and goals of NexThreat LLC. Qualifications and Skills: - HUBZone Residency (REQUIRED) Your primary work location and address must be in an area designated as a Historically Underutilized Business Zone (HUBZone). - Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field. - Strong analytical, problem-solving, and critical thinking skills. - Familiarity with statistical methods and programming languages, such as R, Python, or SQL. - Proficiency in data visualization tools, such as Tableau, Power BI, or similar software. - Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.

PURPOSE MAPMG (The Mid-Atlantic Permanente Medical Group) would like to develop relationships with Universities to provide students with the opportunity to learn the skills related to data analysis. The goal of the internship is to provide Interns with the opportunity to work on analytical projects for MAPMG. This will include working with our data systems and tools to develop reports to inform the business regarding performance and opportunities for improvement. RESPONSIBILITIES Use various data querying tools such as SAS, Teradata SQL Assistant, and Tableau to extract data to create reports to support operational leaders. Works with the Team to review, analyze, and develop solutions for operational leaders. May participate in clinical quality-related informatics topics including the Healthcare Effectiveness Data and Information Set (HEDIS), Risk Adjustment, National Committee for Quality Assurance (NCQA) recognition programs and able to explain the relevance of these topics to MAPMG. Other observation or shadowing opportunities as identified to support the learning process that includes discussion of Staff members' career paths. Maintains confidentiality of patient records, information, and Departmental activities involving patient information and business polices, decisions, and operational plans. QUALIFICATIONS Enrolled in a undergraduate program Aptitude to work with technical software such as SQL, SAS, Tableau, Epic, etc.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, (IT) Financial Management, Program Management, and Logistics & Supply Chain Support. Visit us at *************** Title: Active Military Member - Data Analyst Intern (Skillbridge Program) Client: Aalis Management Consulting Location: Remote Number of Position(s): 1 Work Schedule: 8 am - 5 pm Work Day: Monday - Friday Join our dynamic team as a Data Analyst candidate and gain hands-on experience in data analytics, artificial intelligence (AI) technologies, and IT modernization. This program is designed for transitioning service members seeking to expand their technical skills while contributing to impactful projects that drive innovation and efficiency. Responsibilities: Collaborate with our team to support IT modernization initiatives, including system upgrades and process automation. Learn and apply data analytics techniques to extract insights and improve decision-making. Assist in implementing AI technologies to enhance operational performance and innovation. Participate in data integration and management efforts to ensure data accuracy and accessibility. Contribute to the development of dashboards, reports, and visualizations for stakeholders. Work closely with cross-functional teams to identify opportunities for process improvement using emerging technologies. What You'll Gain: Hands-on experience in IT modernization and the integration of cutting-edge technologies. Exposure to data analytics tools, methods, and real-world applications. Knowledge of AI technologies and their practical uses in modern business environments. Opportunities to collaborate with experienced professionals and expand your technical network. Preparation for a seamless transition into civilian roles in data analytics, AI, and IT modernization. Requirements: Currently transitioning from military service and eligible for the SkillBridge program. Interest in data analytics, AI technologies, and IT systems. Strong analytical skills and a desire to learn new technologies. Basic knowledge of IT systems, databases, or programming languages is a plus but not required. Excellent communication and teamwork abilities. Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Please note, participation in this internship opportunity requires enrollment and successful completion of the PHIT4DC 15-week informatics course offered every semester at the University of the District of Columbia (UDC) and Howard University. DC Primary Care Association (DCPCA) is a nonprofit organization dedicated to improving the health of DC's vulnerable residents by ensuring access to high-quality primary care. Our membership includes nine Federally Qualified Health Centers (FQHCs) in the District of Columbia and Maryland, operating nearly 60 primary care delivery sites that serve over 200,000 residents. DCPCA's Health Information Technology (HIT) team is responsible for planning, implementing, and managing technology initiatives that support the healthcare operations of our community health center members. These initiatives include implementing health data exchange strategies, facilitating population health data acquisition, analysis, and reporting, and providing clinical data reporting services to support health centers' Quality Improvement objectives. In this role, we are seeking a student passionate about health information technology and informatics with a strong interest in data analytics in the primary care setting. The ideal candidate brings educational and/or professional experience in health informatics, computer science, public health, or a related field. The Intern will support the HIT team by performing a variety of technical and administrative duties, assisting with data reporting and visualization, database design, analytics, and other responsibilities as needed. Examples of projects students can undertake during the internship: Designing and creating data visualizations using platforms such as Microsoft PowerBI or Tableau. Managing relational database design and schema creation to support health center operations. Analyzing datasets using SQL and other statistical tools to identify trends and insights. Developing and implementing strategies to improve data extraction, quality, and efficiency. Supporting DCPCA's HIT team with reporting on performance indicators and data-driven decision-making processes. QUALIFICATIONS and EDUCATION: Required qualifications and experience: Currently enrolled master's or post-bachelor's degree candidate in a program related to public health, health informatics, information systems, computer science, or a relevant field. Proficiency in SQL programming and data visualization tools (e.g., PowerBI, Tableau). Experience with statistical packages for data analysis (e.g., Microsoft Excel). Strong analytical skills with attention to detail and accuracy in interpreting and presenting data. Strong written and oral communication skills. Ability to work independently and collaboratively in a fast-paced environment with a high volume of tasks. Proficiency in MS Office products, including Word, Excel, PowerPoint, and Outlook Participation in this internship opportunity requires enrollment and completion in the PHIT4DC 15-week informatics course offered every semester at the University of the District of Columbia (UDC) and Howard University. To learn more about the PHIT4DC partnership, visit: Home | PHIT4DC Up-Skilling District of Columbia public health professionals! Preferred Qualifications: Experience in or with a Federally Qualified Health Center (FQHC) COMPENSATION: The intern is expected to complete 20 hours per week; not to exceed more than 400 hours total. The hourly range for this position is between $22 and $25 dollars. Internships are non-exempt positions and are not eligible for employee benefits. ADA SPECIFICATIONS: This position will be based in an office in Washington D.C. and will allow for telework options. This position is primarily sedentary and may require some bending and lifting. Only competitive candidates will be contacted and invited to participate in the selection process. No phone calls please. Applications are accepted until the position is filled.

From Intake to Outcomes, CareMetx is dedicated to supporting the patient journey by providing hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators. Job Title: Data Analyst Intern Position Summary: Under the general direction of the Manager of Data Analytics, Director and the Vice President of Hub Operations, the Data Analyst Intern will be responsible for conducting analysis, trending and data mining large sets of data, conducting research, developing data models, data cleansing and blending, data visualization with Tableau, and producing summaries of their analytic findings for management, clients and other team members. The Analyst must demonstrate effective interpersonal and communication skills, have a team orientation, an adaptable nature and the ability to build and maintain strong working relationship. PRIMARY DUTIES AND RESPONSIBILITIES: Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems Work closely with management to prioritize business and information needs Locate and define new process improvement opportunities Document and maintain business and functional requirements and ensure persistency Communicate with clients and stakeholders using data to clearly describe a problem or solution Utilize time management skills and multi-tasking capabilities to handle multiple and parallel projects, deliverables while working both independently and collaboratively within a team. Maintain user confidence and protect the business by keeping information confidential. Occasional travel may be required Qualifications Requirements & Minimum Skills: Must be enrolled in an accredited university/college. Excellent communication (written, oral, interpersonal) and grammar skills. Proficient computer skills (Microsoft Office Suite). Self-directed and able to work with minimal supervision. Must be able to maintain a high level of confidentiality. Duration: June 2, 2025 - July 26, 2025 (8-10 weeks) 20-30 hours/week Pay: $18 p/hr EXPERIENCE AND EDUCATIONAL REQUIREMENTS: Bachelor's degree in math, economics, computer science, engineering or management information systems with 1-3 years of experience as an analyst or experience with data management and analytical software tools. Proven working experience as a data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Previous data analysis experience and report design using Tableau or similar tool is required. MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: Adept at writing complex queries using SQL, report writing/building and presenting findings. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Experience using Business Intelligence (BI)/statistical packages for analyzing large datasets (Excel, SPSS, SAS Tableau, etc.) SQL-Server experience Demonstrated experience in all phases of data analytics Ability to participate in discussing program data and analysis (attend client meetings to brainstorm and problem-solve on their data needs and questions) Write logical, comprehensive, concise reports, meeting minutes, correspondence; communicate effectively orally and in writing. Well-organized with the ability to manage multiple tasks at once in order to meet demanding deadlines. Proficient in Microsoft Office (Excel, Access, Powerpoint, Word) Proficient in Microsoft Visio, Project and Sharepoint. Demonstrate Creative problem-solving skills, ability to maintain the highest levels of customer satisfaction and a service orientation. Preferred Skills Experience working in a fast-paced startup atmosphere Experience working with and presenting to executive level clients and managers Experience working with large data sets, producing and clearly explaining reports to the end user Experience in the Pharmaceutical, Medical Device or Healthcare industry Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit. The employee must also occasionally lift and/or move up to 10 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Schedule: Will be determined based on Intern's schedule and departmental needs. CareMetx considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply. CareMetx is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Lifelancer ( ********************** ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. For more details and to find similar roles, please check out the below Lifelancer link. **********************/jobs/view/a3193449af61c78194a20cd4a5dd377d